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  1. 1881

    Arctic plant-fungus interaction networks show major rewiring with environmental variation by Bastien Parisy, Niels M. Schmidt, Alyssa R. Cirtwill, Edith Villa-Galaviz, Mikko Tiusanen, Cornelya F. C. Klütsch, Paul E. Aspholm, Katrine Raundrup, Eero J. Vesterinen, Helena Wirta, Tomas Roslin

    Published 2024-11-01
    “…Abstract Global environmental change may lead to changes in community structure and in species interactions, ultimately changing ecosystem functioning. …”
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    Article
  2. 1882
  3. 1883

    Calculating slope gradient variations in the submarine landforms by R and Python statistical libraries by Polina Lemenkova

    Published 2019-12-01
    “…Multiple factors affect submarine geomorphology causing variations in the gradient slope: geological settings (rock composition, structure, permeability, erodibility of the materials), submarine erosion, gravity flows of water streams, tectonics, sediments from the volcanic arcs, transported by transverse submarine canyons. …”
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    Article
  4. 1884

    Compressing Neural Networks Using Tensor Networks with Exponentially Fewer Variational Parameters by Yong Qing, Ke Li, Peng-Fei Zhou, Shi-Ju Ran

    Published 2025-01-01
    “…Our study suggests that the deep TN is an exceptionally efficient mathematical structure for representing the variational parameters of NNs, one that exhibits better compressibility than the commonly used matrices and multiway arrays.…”
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  5. 1885
  6. 1886

    Variational Methods for Almost Periodic Solutions of a Class of Neutral Delay Equations by M. Ayachi, J. Blot

    Published 2008-01-01
    “…We provide new variational settings to study the a.p. (almost periodic) solutions of a class of nonlinear neutral delay equations. …”
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    Article
  7. 1887

    Relationship Between Genetic and Phenotypic Variations in Natural Populations of Perennial and Biennial Sagebrush by Khurelpurev Oyundelger, Lisa Großmann, Veit Herklotz, Dörte Harpke, Oyuntsetseg Batlai, Karsten Wesche, Christiane M. Ritz

    Published 2024-10-01
    “…Population genetic structure in the biennial A. scoparia was weak, while the perennial A. frigida showed some spatial genetic structure, which was impacted by geographical factors, soil nutrients, and precipitation amount. …”
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    Article
  8. 1888

    Genetic Diversity and Phenotypic Variation of Indigenous Wild Cherry Species in Kazakhstan and Uzbekistan by Ulzhan Manapkanova, Nazgul Rymkhanova, Stefanie Reim, Eric Fritzsche, Monika Höfer, Natalya Beshko, Yeskendir Satekov, Svetlana V. Kushnarenko

    Published 2025-05-01
    “…This study investigates the phenotypic characteristics, genetic diversity, and population structure of four wild cherry species collected from various regions of Kazakhstan and Uzbekistan: <i>Prunus fruticosa</i> Pall., <i>Ptunus erythrocarpa</i> (Nevski) Gilli, <i>Prunus griffithii</i> var. …”
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  9. 1889

    Zymoseptoria tritici Shows Local Differences in Within-Field Diversity and Effector Variation by Andrea Tobian Herreno, Pu Huang, Isabella Siepe, Remco Stam

    Published 2025-01-01
    “…Inspection of population structure and diversity features, such as minor allele frequency distribution and clonality, show no within-field structure, the most abundant single-nucleotide polymorphisms are present in low frequency, and European fields have higher clonality. …”
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    Article
  10. 1890

    Prediction Method of Bearing Life of Train Traction Motor Based on Preload Variation by HE Deqiang, ZHANG Huan, SUN Yi, MIAO Jian

    Published 2018-01-01
    “…In order to predict the remaining working life of the bearing, the influence of traction motor bearing preload on bearing structure and dynamics characteristics was analyzed. …”
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    Article
  11. 1891

    Variability Analysis of Ferroelectric FinFETs for Embedded Non-Volatile Memory Applications by Byeongju Ha, Dongyeong Kim, Taekhan Yoon, Sola Woo

    Published 2025-01-01
    “…These variabilities are incorporated into TCAD simulations to quantitatively examine the variation of threshold voltages. As a result, the FeM-FinFET can reduce variability by an average of 12.4% compared to the Fe-FinFET structure and by an average of 55% compared to the one-sided FeM-FinFET structures.…”
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  12. 1892

    Multi-omics dataset of individual variations in growth performance of large yellow croaker by Hao Huang, Zhenheng Cheng, Yabing Wang, Guangde Qiao, Xiaoshan Wang, Yanfeng Yue, Quanxin Gao, Shiming Peng

    Published 2025-01-01
    “…To explore these dynamics, we employed metagenomics, transcriptomics, and untargeted metabolomics to comprehensively analyze the structure of the intestinal microbiome and its relationship with intestinal metabolism and host gene expression. …”
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    Article
  13. 1893

    The Variation Mechanism of Thermal Properties of Loess with Different Water Contents during Freezing by Xihao Dong, Shuai Liu, Yuanxiang Yu

    Published 2021-01-01
    “…The thermal properties of soils are affected by many factors, such as temperature, water content, and structure. Based on the transient plane source method of thermal physics, the thermal properties of loess with different water content during the freezing process were tested. …”
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  14. 1894

    Seasonal variation of bat activity in an endangered temperate forest in the Chilean biodiversity hotspot by Martín A. H. Escobar, Nélida R. Villaseñor

    Published 2024-11-01
    “…Herein we describe the seasonal variation of bat species richness, activity and assemblage structure during the reproductive season in a sclerophyllous forest, an endangered temperate Mediterranean forest located in Chile’s biodiversity hotspot. …”
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  15. 1895

    Context-related acoustic variation in male fallow deer (Dama dama) groans. by Benjamin D Charlton, David Reby

    Published 2011-01-01
    “…While social and behavioural contexts are known to affect the acoustic structure of vocal signals in several mammal species, few studies have investigated context-related acoustic variation during inter-sexual advertisement and/or intra-sexual competition. …”
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  16. 1896

    Ethnic background and genetic variation in the evaluation of cancer risk: a systematic review. by Lijun Jing, Li Su, Brian Z Ring

    Published 2014-01-01
    “…Instead, differences in local genomic structure between ethnic groups are associated with the strength of association with cancer risk and therefore confound interpretation of the implied physiologic association tracked by the disease allele. …”
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  17. 1897
  18. 1898
  19. 1899
  20. 1900